The simplest way to think about Pipl’s offering is like a 21stcentury version of what was once known as the White Pages, finding you information about someone from across the web.
This guide investigates how Pipl approaches OSINT-based email lookup and data enrichment, comparing these methods in a head-to-head with those of SEON.
We’ll look at how each delivers on its promise to enable more trustworthy online transactions and interactions, and which one is best for different expectations and requirements.
Disclaimer: Everything written about the companies mentioned in this article was gleaned from online research including user reviews. We did not have time to manually test all the tools. However, we ensured the information was correct as of spring 2022. Feel free to contact us to request an update/correction.
Founded back in 2004, Pipl is a turn-of-the-century success story from Idaho that has raised a reported $19 million in funding in its lifetime.
Trust is central to Pipl’s offering to users who are mainly with organizations in government, ecommerce, fintech and insurance industries.
The vendor’s tools are used to conduct research and investigations into someone’s identity using OSINT sources and other databases, enabling user verification, investigations and contact enrichment for various uses.
Boasting a database of more than 3 billion online identities from around the world, with 100+ billion identity elements, Pipl’s usefulness is unquestionable as a straightforward search engine that can provide intel on almost anyone with a digital and/or government footprint.
There is also an option to enable or disable results from live sources, as well as more complex queries.
- Trusted Intelligence: Allows businesses such as online shops and lenders to approve more users using trust-based signals.
- Search: Manual search of Pipl’s database for identify verification purposes and investigations, as well as cross-referencing of provided information.
- Almost two decades of activity have created a sizeable, robust database containing several different data points for each person.
- Customizable API that integrates well into different security and/or research setups.
- Free trial and free support.
- No real automation or risk scoring: needs human interpretation and decisions.
- Despite being easy to use, interpreting the results in practical terms can require training for non-specialists.
SEON vs Pipl Features Comparison Table
|Email data enrichment||Yes||Yes|
|Phone data enrichment||Yes||Yes|
|Find user social media||Yes||Yes|
|Machine learning suggestions||Yes||No|
|Industry preset rules||Yes||No|
|Integration / deployment|
|Custom API fields||Yes||No|
|Integration with other tools||Yes||Yes|
|Cost per month||Flexible tiered pricing based on API requests starting from $99.||Singular API calls are $0.10 – packages available via the sales team|
Where SEON Wins Over Pipl
- Combines digital footprinting with device fingerprinting, IP analysis, BIN lookups and other data for more well-rounded results.
- User authentication and pre-KYC checks to prevent fraud of various types.
- Risk rulesets to trigger blacklisting and hard KYC checks, with presets per industry and machine learning customization.
Where Pipl Wins over SEON
- Can search using online usernames and narrow down by location.
- Even when stale, historical data can assist investigations in sectors such as government and intelligence.
- Can auto-fill forms for customers, encouraging them to commit.
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